Wizard

Role Description We're hiring a Lifecycle Marketer to own how we communicate with our users after they walk in the door. We have some of the basics in place but this is largely a build role. You'll take what exists, assess what's working, and build the lifecycle program that turns new users into habitual ones. You'll report into our Director of Growth Marketing and sit at the heart of our marketing team, working closely with product and creative to build the infrastructure that makes our path to 1M users sustainable. What You’ll Do - Assess our current email, SMS, and push setup and develop a full lifecycle roadmap covering onboarding, activation, engagement, re-engagement, and retention. - Build, test, and optimize lifecycle campaigns across email, SMS, and push notifications. You’re hands-on in the tools, not just directing from a distance. - Own the critical first-week experience — the sequence of communications that turns a new signup into an activated, returning user. - Write high-quality lifecycle copy across channels (email, SMS, push), maintaining Wizard’s premium, product-led voice. - Design and build scalable email templates and systems that can be reused, iterated on, and improved over time. - Build smarter audience segments and develop more personalized messaging as our user base and data maturity grows. - Leverage dynamic content and event-based triggers to personalize messaging (e.g., product categories viewed, queries made, intent signals). - Run a disciplined testing program across subject lines, send times, messaging, sequencing, and channel mix. You make decisions with data and document what you learn. - Partner with product to align key moments with lifecycle triggers, and with creative to ensure everything looks and feels like Wizard. What Success Looks Like - Month 3: Completed a full lifecycle audit and launched a rebuilt onboarding system across email, SMS, and push, with testing and scalable templates in place. - Month 6: Lifecycle is driving measurable gains in activation and retention, with coordinated email + SMS programs and live behavior-based personalization. - Month 12: Built a mature, dynamic lifecycle system that is a core driver of retention and engagement at scale. Qualifications - 3-5 years of lifecycle, CRM, or retention marketing experience at a consumer tech company or high growth startup. - Hands-on experience with a major lifecycle or CRM platform such as Braze, Iterable, Klaviyo, or similar. - Experience building and scaling SMS programs alongside email (compliance, deliverability, sequencing). - Strong instincts on messaging, sequencing, and user psychology; you understand how to move someone from curious to committed. - You have a strong analytical mind and are comfortable pulling your own data, building reports, and letting results drive decisions. - Strong writing skills with a high bar for both clarity and tone. Compensation & Benefits The expected base salary range for this role is $125,000 - $175,000 and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. - Equity in the form of stock options. - Medical, dental, and vision coverage. - 401(k) plan. - Flexible PTO and company holidays. - Fully remote work within the United States. - Periodic company offsites and team gatherings.

• Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations, outcomes) • Design and run experiments to measure improvements and regressions • Build and maintain evaluation datasets, benchmarks, and scoring frameworks • Improve the LLM judges that power our evaluation pipeline: prompting, calibration, and fine-tuning where it matters • Translate ambiguous product questions into clear, measurable hypotheses and analysis • Partner with ML Engineers to validate model changes and guide iteration • Identify failure modes and edge cases, and drive improvements through data • Make agent performance visible, trusted, and actionable across product and engineering

• Own and evolve the hybrid search pipeline – lexical retrieval, dense vector search, reciprocal rank fusion, and multi-stage reranking on Elasticsearch • Build and train adaptive retrieval models – lightweight classifiers and ranking models that configure search behavior per query, per category, per context (source routing, per-attribute boost prediction, filter mode decisions) • Design and productionize the learning-to-rank system – from feature engineering through model training (LightGBM, ONNX) to production deployment and A/B evaluation • Build the search feedback loop – instrument and integrate behavioral signals (CTR, conversions, add-to-cart) into ranking and retrieval as features for LTR, reward signals for adaptive retrieval, and inputs for search-side personalization • Build the business and ordering layer – separating organic relevance from sponsored/partner placement with quality gates, slot allocation, campaign configuration, and an auction-style approach as the system matures • Own the offline enrichment pipeline – LLM-based product enrichment at scale, data quality monitoring, and index management • Instrument and evaluate everything – bulk evaluation pipelines, per-category metric tracking, regression detection, experiment analysis • Integrate query understanding outputs into retrieval – translating extracted attributes, intents, and constraints into filters, boosts, and retrieval strategy decisions

• Build and maintain platform services and APIs that support merchant integrations and external partners. • Design and implement integrations with ecommerce platforms (e.g., Shopify) and other commerce systems. • Write clean, readable, and extensible code in Node.js and TypeScript for backend services and APIs. • Experience working integrating external APIs at scale. • Contribute to select frontend or admin interfaces (React) that support platform functionality and operations. • Participate in technical design discussions: scoping solutions, identifying tradeoffs, and breaking work into deliverable units. • Collaborate closely with other engineers through code reviews, pairing, and group problem-solving. • Improve system reliability, observability, and performance across platform services. • Help evolve Wizard’s integration architecture as we scale to more partners and higher traffic. • Write and maintain technical documentation for services, APIs, and development practices.

• Build and ship user-facing features and applications that drive core product experiences for merchants and customers • Own features end-to-end across frontend (React) and backend (Node.js / TypeScript) • Collaborate closely with product, design, and AI/ML teams to translate ambiguous ideas into high-quality user experiences • Design and implement scalable APIs and services that support product functionality • Contribute to frontend architecture and component systems to enable fast, consistent development • Drive experimentation and iteration, including A/B testing and rapid prototyping • Participate in technical design discussions, making thoughtful tradeoffs between speed, quality, and scalability • Write clean, maintainable, and well-tested code • Improve application performance, usability, and reliability across the product surface • Contribute to team best practices through code reviews, documentation, and technical discussions

• Design and build APIs and backend services that power AI-driven product experiences • Develop systems that integrate LLMs and ML models into production workflows • Build and maintain data pipelines supporting training, inference, and evaluation • Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features • Improve system performance, reliability, and scalability across services • Contribute to experimentation and feedback loops that improve model and product performance • Debug complex production issues and drive root cause resolution • Raise the bar on code quality, system design, and engineering standards

• Serve as a trusted extension of the CEO — drafting, responding to, and managing email correspondence on her behalf with sound judgment and her voice • Manage and protect the CEO's calendar with a strong POV on what deserves her time, what doesn't, and what can be delegated. Coordinate her involvement in internal and external events. • Prepare Melissa for every meeting, conversation, and commitment with briefings, context, talking points, and pre-reads • Own follow-up with the CEO's direct reports and executive team on goals, priorities, and commitments, relentlessly and diplomatically • Drive weekly syncs, 1:1 rhythms, and cross-functional check-ins: own the agenda, take the notes, and make sure every action item has an owner and a deadline • Track progress against company and CEO-level goals; surface blockers and delays before they become problems • Build and refine presentations for internal and external audiences (exec team, board, all-hands, etc.) • Identify opportunities to improve how the CEO's office operates and implement lightweight systems to support them

• Own and evolve our multi-engine inference platform, supporting a variety of model types and serving requirements. • Build and improve production ML pipelines — taking models from experimentation to reliable, high-throughput serving. • Define and implement model versioning, rollout, rollback, and lifecycle management strategies that ensure reproducibility and operational reliability. • Define and enforce serving-layer SLAs, including latency, availability, GPU utilization, Time-to-First-Token (TTFT), and Inter-Token Latency (ITL). • Build observability, monitoring, alerting, and operational tooling for production inference systems. • Apply software engineering best practices, including testing, CI/CD integration, and reproducibility across ML workflows. • Optimize inference performance through efficient resource utilization, hardware-aware serving strategies, and cost-conscious infrastructure design. • Ensure ML serving systems are secure, scalable, and operationally resilient. • Partner with ML, Data, Product, and DevOps teams to turn ideas into production systems, driving the technical decisions on serving and scale.

• Build the foundation of Wizard’s native iOS app, defining architecture, frameworks, and best practices. • Architect, develop, and ship iOS apps and extensions that integrate with our AI-driven shopping platform using the latest iOS development practices (SwiftUI, MVVM, etc.) • Collaborate with AI, platform, and product teams to integrate AI-powered recommendations and personalization features. • Manage iOS provisioning, App Store deployment, and ongoing maintenance. • Write comprehensive technical documentation and maintain CI/CD pipelines.

About Wizard AI Wizard AI is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust. We’re expanding into mobile and looking for a Staff iOS Engineer to lead the creation of our very first iOS app, shaping how millions of users experience AI-driven shopping on mobile. The Role As a Staff iOS Mobile Engineer at Wizard AI, you will design and build our iOS client app from the ground up, owning its architecture, development, and performance. You’ll work closely with Product, Design, and ML teams to implement features that deliver real-time, AI-driven recommendations and personalized shopping experiences. This is a hands-on role with end-to-end ownership, from initial design through deployment and optimization, giving you a unique opportunity to influence both the mobile product and technical roadmap. What You’ll Do - Build the foundation of Wizard’s native iOS app, defining architecture, frameworks, and best practices. - Architect, develop, and ship iOS apps and extensions that integrate with our AI-driven shopping platform using the latest iOS development practices (SwiftUI, MVVM, etc.) - Collaborate with AI, platform, and product teams to integrate AI-powered recommendations and personalization features. - Manage iOS provisioning, App Store deployment, and ongoing maintenance. - Write comprehensive technical documentation and maintain CI/CD pipelines. What Success Looks Like - High-Impact Client Apps: Deliver iOS apps that are performant, stable, and delight users with AI-powered shopping experiences. - End-to-End Ownership: Take full responsibility for app architecture, feature delivery, testing, and performance optimization. - Influence & Mentorship: Shape mobile engineering standards, mentor engineers, and contribute to the technical roadmap for client apps. Ideal Background - 5–8+ years of iOS development experience with a strong portfolio of shipped production apps. - Expert in Swift and SwiftUI using the latest practices, with knowledge of Objective-C, Combine, UIKit, or other Apple technologies a bonus. - Strong understanding of iOS app architecture, asynchronous programming, performance optimization, and security best practices. - Experience with mobile app system design - Experience with full stack JavaScript/TypeScript (React; Node; Express/Koa) with production apps. - Expertise in SQL, relational databases (MySQL/PostgreSQL), and familiarity with NoSQL (MongoDB). - Strong understanding of REST and GraphQL API design and consumption. - Proficiency with CI/CD, automated testing, Git/GitFlow, and cloud services (AWS, GCP, Azure). - Experience integrating AI/ML services into mobile apps is highly desirable. - Strong UX sensibility and ability to deliver user-friendly mobile/web experiences. - Comfortable mentoring engineers, leading code reviews, and influencing technical direction. - Experience in high-growth startups or fast-moving product environments is a plus. Compensation & Benefits The expected base salary range for this role is $180,000 – $210,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: - Equity in the form of stock options - Medical, dental, and vision coverage - 401(k) plan - Flexible PTO and company holidays - Fully remote work within the United States - Periodic company offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.